Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
Get data via Apify's YouTube Scraper. To do so, simply fill in the URLs of videos, streams, shorts, searches, or channels you want to gather information about.
For YouTube URLs, you can extract: *Basic channel details (*name, number of subscribers, total videos, location, social media links), and Video and search details (author name, number of likes, comments, views, title, URL, subtitles, duration, release date).
View the actor on Apify: https://apify.com/streamers/youtube-scraper
Integrate to your Datastreamer pipelines: https://docs.datastreamer.io/docs/apify#/
Extract data about articles, categories, and contributors from en.wikipedia.org.
How Datastreamer works
Quickly connect Apify YouTube Scraper and Bright Data Wikipedia with a Datstreamer Pipeline.
Scalable data integration in the enterprise depends on ingesting heterogeneous web data sources. These include data from internal systems, ecosystem partners, and the broader web.
Datastreamer lets you accelerate your data usage by applying operations like structuring, enriching, joining, and filtering—choose from hundreds of prebuilt, plug-and-play options.
Supercharge your data workflows with Datastreamer. Add flexibility to your Pipelines and put an end to the common bottlenecks in handling web data.
Add Datastreamer components to your data stack and explore its full capabilities
